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Leveraging AI in (Physical) Security



It’s difficult to scan the news these days without seeing yet another report of a corporate security breach. In contrast, though, you may not read as many reports about actual attacks on a company’s physical assets, such as by organized gangs of thieves or shoplifters engaged in crimes of opportunity.

Of course, Physical attacks involving actual penetration of a building are just as bad for a company’s bottom line as online attackers seeking access to sensitive data and intellectual property.

Today, we’re focusing on physical security, namely security guards and the video cameras they rely on to mount strong responses to potential crimes.

It’s no wonder that we receive security inquiries from principals at worried companies on a regular basis. Customers who are responsible for the daily operations of major enterprises worry that they aren’t doing enough in terms of shoring up their private security.

They turn to us because as a major entity in the field of machine learning and artificial intelligence, F33 has years of experience in guiding enterprises through the intricate landscape of software deployment, and this includes all aspects of security.

Whether you run a private security firm yourself or work at a company that needs enhanced security, you should anticipate that AI will play a major role.

Here is some perspective on the use of AI in private security, to give you and your team some ideas about deploying a customized artificial intelligence for added safety in your own enterprise.

Security Company Improvements

Adding artificial intelligence can help security companies improve how they operate. The benefit is not just from basic image recognition to identify who someone is just based on a scan of their face.

For example, when you use AI to examine video feeds from surveillance cameras, the system isn’t just looking at a database to see if it has eyes locked on a serial shoplifter.

As Security Magazine noted, “the security benefits from smart video surveillance systems come from identifying specific behavior patterns, not faces.” In retail settings, you use AI and machine learning to plow through a huge amount of video footage, looking for common patterns. This helps the system identify suspicious or abnormal behavior.

It cited an example of how ordinarily, a customer will pick a single expensive item from a shelf, and not multiple ones, and then proceed to the checkout register walking at a moderate pace.

But gait recognition to see how fast a shopper is walking, and keeping track of what items the shopper selected, the machine learning system might point this person out for additional scrutiny by a human security guard in the store.

On the other hand, consider a shopper who is wandering around or making abrupt movements. An AI system, based on stored patterns it analyzes, could determine that the person is not a potential shoplifter, vandal or other criminal. In actuality, signs indicate the system has just spotted a frustrated customer who can’t find an item or a store employee to assist.

Machine learning that studies multiple incidents like this then prompts the system to tell a human security guard that a shopper needs assistance. A lot of time is saved and the store may see a boost in customer loyalty when they feel looked after like this.

Scheduling Personnel More Efficiently

Keeping track of who is supposed to show up for duty on security guard patrols is a labor-intensive process, especially when using conventional software. Artificial intelligence embedded in scheduling software is a good entry point into AI for security companies, since it’s such a basic task that sucks time while being easily automated.

With a cloud-computing based platform, a security guard company can communicate more readily with its guards and the organizations they protect. As noted by Thinkcurity, artificial intelligence tools examining data, such as from surveillance cameras, help free up human guards so they can spend more time on actual patrolling and helping people.

No longer consumed with paperwork to be filled out about each task during their shift, the security forces enjoy improved morale because they are using their skills to their full potential.

Case of the Jewel Changi Airport

The Jewel Changi Airport in Singapore is a massive facility that comprises the airport itself plus an enclosed natural environment (complete with indoor waterfall), shopping mall and hotel. Costing $1.25 billion, Jewel Changi opened in April 2019. The luxurious facilities call out for advanced, robust security measures, which are especially needed, given the large amount of foot traffic it sees daily.

Jewel Changi is completely covered by a clear glass dome, standing out in the Singapore landscape. It’s so captivating, the airport continues drawing curious locals as well as international visitors, to the tune of 50 million people passing through the facility during its first 6 months.

Being such an appealing destination for strangers from all over the globe, security needs to be comprehensive and on full alert. To that end, security firm Certis (a private company that started in 1958 as a unit in the Singapore police force) was tasked to come up with a solution. According to Forbes, Certis devised a system that employs more than 5,000 security cameras and sensors, all connected to a central Smart Operations Center to consolidate all incoming data feeds.

It’s here that the system relies on a platform called MOZART, which includes “AI capabilities for analyzing video and other sensor inputs to identify situations requiring operator follow up.”

Before installing the AI system, Certis security executive Ju Yuong Pang spent a large part of his day doing such routine tasks as figuring out the ideal routes for his security officers to patrol, creating their worksheets and then briefing them before the start of their shifts. But with MOZART’s AI capabilities, Pang now automates the bulk of these tasks.

Security guards now save time, not needing to gather for a meeting just to get their work assignments and briefings. And the fact that an AI-fueled robot named PETER is now on the force too, pulling duty in the parking lot, means human security guards no longer have to endure the fierce heat outside to deal with parking violations.

The entire system works more efficiently thanks to AI handling work that’s easily automated. It leaves higher level security work to the humans on patrol.

Beefing Up Organization’s Security With Artificial Intelligence

When it comes to the safety and security of your organization, intellectual property, employees, customers and other people, you want the most robust security in place.

Accordingly, many organizations are working to shore up their vulnerabilities using artificial intelligence. Whether you are arranging security for your enterprise or run a company offering security services to enterprises, it’s a near certainty that artificial intelligence will play an increasingly larger role, going forward.

If you have limited experience with A.I., you can save time and effort in using it for enhancing security by partnering with artificial intelligence experts, like the professionals at F33. Contact us today to have a discussion.





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